Pandas Profiling Report

Dataset statistics

Number of variables	15
Number of observations	956
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	112.2 KiB
Average record size in memory	120.1 B

Variable types

Numeric	3
Text	8
Categorical	4

Alerts

`Unnamed: 0` is uniformly distributed	Uniform
`Unnamed: 0` has unique values	Unique

Reproduction

Analysis started	2024-07-11 06:26:03.812484
Analysis finished	2024-07-11 06:26:05.193797
Duration	1.38 second
Software version	ydata-profiling v4.8.3
Download configuration	config.json

Unnamed: 0
Real number (ℝ)

UNIFORM UNIQUE

Distinct	956
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	477.5

Minimum	0
Maximum	955
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	7.6 KiB

Quantile statistics

Minimum	0
5-th percentile	47.75
Q1	238.75
median	477.5
Q3	716.25
95-th percentile	907.25
Maximum	955
Range	955
Interquartile range (IQR)	477.5

Descriptive statistics

Standard deviation	276.11773
Coefficient of variation (CV)	0.57825702
Kurtosis	-1.2
Mean	477.5
Median Absolute Deviation (MAD)	239
Skewness	0
Sum	456490
Variance	76241
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	0.1%
642	1	0.1%
630	1	0.1%
631	1	0.1%
632	1	0.1%
633	1	0.1%
634	1	0.1%
635	1	0.1%
636	1	0.1%
637	1	0.1%
Other values (946)	946	99.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.1%
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%

Value	Count	Frequency (%)
955	1	0.1%
954	1	0.1%
953	1	0.1%
952	1	0.1%
951	1	0.1%
950	1	0.1%
949	1	0.1%
948	1	0.1%
947	1	0.1%
946	1	0.1%

Job Title
Text

Distinct	328
Distinct (%)	34.3%
Missing	0
Missing (%)	0.0%
Memory size	7.6 KiB

Length

Max length	131
Median length	70
Mean length	27.992678
Min length	9

Characters and Unicode

Total characters	26761
Distinct characters	72
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	136 ?
Unique (%)	14.2%

Sample

1st row	Data Scientist
2nd row	Healthcare Data Scientist
3rd row	Data Scientist
4th row	Data Scientist
5th row	Data Scientist

Value	Count	Frequency (%)
data	719	19.6%
scientist	540	14.7%
	216	5.9%
engineer	201	5.5%
senior	152	4.1%
analyst	124	3.4%
sr	56	1.5%
analytics	49	1.3%
science	46	1.3%
manager	38	1.0%
Other values (398)	1532	41.7%

Most occurring characters

Value	Count	Frequency (%)
	2717	10.2%
t	2697	10.1%
a	2553	9.5%
i	2393	8.9%
e	2287	8.5%
n	2104	7.9%
c	1216	4.5%
s	1208	4.5%
r	1073	4.0%
S	999	3.7%
Other values (62)	7514	28.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	26761	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	2717	10.2%
t	2697	10.1%
a	2553	9.5%
i	2393	8.9%
e	2287	8.5%
n	2104	7.9%
c	1216	4.5%
s	1208	4.5%
r	1073	4.0%
S	999	3.7%
Other values (62)	7514	28.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	26761	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	2717	10.2%
t	2697	10.1%
a	2553	9.5%
i	2393	8.9%
e	2287	8.5%
n	2104	7.9%
c	1216	4.5%
s	1208	4.5%
r	1073	4.0%
S	999	3.7%
Other values (62)	7514	28.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	26761	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	2717	10.2%
t	2697	10.1%
a	2553	9.5%
i	2393	8.9%
e	2287	8.5%
n	2104	7.9%
c	1216	4.5%
s	1208	4.5%
r	1073	4.0%
S	999	3.7%
Other values (62)	7514	28.1%

Salary Estimate
Text

Distinct	417
Distinct (%)	43.6%
Missing	0
Missing (%)	0.0%
Memory size	7.6 KiB

Length

Max length	41
Median length	36
Mean length	21.610879
Min length	2

Characters and Unicode

Total characters	20660
Distinct characters	37
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	196 ?
Unique (%)	20.5%

Sample

1st row	$53K-$91K (Glassdoor est.)
2nd row	$63K-$112K (Glassdoor est.)
3rd row	$80K-$90K (Glassdoor est.)
4th row	$56K-$97K (Glassdoor est.)
5th row	$86K-$143K (Glassdoor est.)

Value	Count	Frequency (%)
est	725	29.5%
glassdoor	692	28.2%
1	214	8.7%
per	24	1.0%
hour(glassdoor	21	0.9%
provided	17	0.7%
employer	17	0.7%
54k-$115k	6	0.2%
49k-$113k	6	0.2%
21-$34	6	0.2%
Other values (414)	727	29.6%

Most occurring characters

Value	Count	Frequency (%)
s	2151	10.4%
	1499	7.3%
o	1496	7.2%
$	1484	7.2%
K	1436	7.0%
1	1133	5.5%
-	956	4.6%
r	824	4.0%
e	795	3.8%
l	759	3.7%
Other values (27)	8127	39.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	20660	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
s	2151	10.4%
	1499	7.3%
o	1496	7.2%
$	1484	7.2%
K	1436	7.0%
1	1133	5.5%
-	956	4.6%
r	824	4.0%
e	795	3.8%
l	759	3.7%
Other values (27)	8127	39.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	20660	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
s	2151	10.4%
	1499	7.3%
o	1496	7.2%
$	1484	7.2%
K	1436	7.0%
1	1133	5.5%
-	956	4.6%
r	824	4.0%
e	795	3.8%
l	759	3.7%
Other values (27)	8127	39.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	20660	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
s	2151	10.4%
	1499	7.3%
o	1496	7.2%
$	1484	7.2%
K	1436	7.0%
1	1133	5.5%
-	956	4.6%
r	824	4.0%
e	795	3.8%
l	759	3.7%
Other values (27)	8127	39.3%

Job Description
Text

Distinct	596
Distinct (%)	62.3%
Missing	0
Missing (%)	0.0%
Memory size	7.6 KiB

Length

Max length	10051
Median length	4223
Mean length	3762.4215
Min length	407

Characters and Unicode

Total characters	3596875
Distinct characters	123
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	314 ?
Unique (%)	32.8%

Sample

1st row	Data Scientist Location: Albuquerque, NM Education Required: Bachelor’s degree required, preferably in math, engineering, business, or the sciences. Skills Required: Bachelor’s Degree in relevant field, e.g., math, data analysis, database, computer science, Artificial Intelligence (AI); three years’ experience credit for Master’s degree; five years’ experience credit for a Ph.D Applicant should be proficient in the use of Power BI, Tableau, Python, MATLAB, Microsoft Word, PowerPoint, Excel, and working knowledge of MS Access, LMS, SAS, data visualization tools, and have a strong algorithmic aptitude Excellent verbal and written communication skills, and quantitative analytical skills are required Applicant must be able to work in a team environment U.S. citizenship and ability to obtain a DoD Secret Clearance required Responsibilities: The applicant will be responsible for formulating analytical solutions to complex data problems; creating data analytic models to improve data metrics; analyzing customer behavior and trends; delivering insights to stakeholders, as well as designing and crafting reports, dashboards, models, and algorithms to make data insights actionable; selecting features, building and optimizing classifiers using machine learning techniques; data mining using state-of-the-art methods, extending organization’s data with third party sources of information when needed; enhancing data collection procedures to include information that is relevant for building analytic systems; processing, cleansing, and verifying the integrity of data used for analysis; doing ad-hoc analysis and presenting results in a clear manner; and creating automated anomaly detection systems and constant tracking of its performance. Benefits: We offer competitive salaries commensurate with education and experience. We have an excellent benefits package that includes: Comprehensive health, dental, life, long and short term disability insurance 100% Company funded Retirement Plans Generous vacation, holiday and sick pay plans Tuition assistance Benefits are provided to employees regularly working a minimum of 30 hours per week. Tecolote Research is a private, employee-owned corporation where people are our primary resource. Our investments in technology and training give our employees the tools to ensure our clients are provided the solutions they need, and our very high employee retention rate and stable workforce is an added value to our customers. Apply now to connect with a company that invests in you.
2nd row	What You Will Do: I. General Summary The Healthcare Data Scientist position will join our Advanced Analytics group at the University of Maryland Medical System (UMMS) in support of its strategic priority to become a data-driven and outcomes-oriented organization. The successful candidate will have 3+ years of experience with Machine Learning, Predictive Modeling, Statistical Analysis, Mathematical Optimization, Algorithm Development and a passion for working with healthcare data. Previous experience with various computational approaches along with an ability to demonstrate a portfolio of relevant prior projects is essential. This position will report to the UMMS Vice President for Enterprise Data and Analytics (ED&A). II. Principal Responsibilities and Tasks • Develops predictive and prescriptive analytic models in support of the organization’s clinical, operations and business initiatives and priorities. • Deploys solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems • Supports and drives analytic efforts designed around organization’s strategic priorities and clinical/business problems • Works in a team to drive disruptive innovation, which may translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies and process improvements. • Builds and extends our analytics portfolio supported by robust documentation • Works with autonomy to find solutions to complex problems using open source tools and in-house development • Stays abreast of state-of-the-art literature in the fields of operations research, statistical modeling, statistical process control and mathematical optimization • Creates, communicates, and manages the project plans and other required project documentation and provides updates to leadership as necessary • Develops and maintains relationships with business, IT and clinical leaders and stakeholders across the enterprise to facilitate collaboration and effective communication • Works with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot settings • Performs analysis to evaluate primary and secondary objectives from such pilots • Assists leadership with strategies for scaling successful projects across the organization and enhances the analytics applications based on feedback from end-users and clinical/business consumers • Assists leadership with dissemination of success stories (and failures) in an effort to increase analytics literacy and adoption across the organization. What You Need to Be Successful: III. Education and Experience • Master’s or higher degree (may be substituted by relevant work experience) in applied mathematics, physics, computer science, engineering, statistics or a related field • 3+ years of Mathematical Optimization, Machine Learning, Predictive Analytics and Algorithm Development experience (experience with tools such as WEKA, RapidMiner, R. Python or other open source tools strongly desired) • Strong development skills in two or more of the following: C/C++, C#, Python, Java • Combining analytic methods with advanced data visualizations • Expert ability to breakdown and clearly define problems • Experience with Natural Language Processing preferred IV. Knowledge, Skills and Abilities • Proven communications skills – Effective at working independently and in collaboration with other staff members. Capable of clearly presenting findings orally, in writing, or through graphics. • Proven analytical skills – Able to compare, contrast, and validate work with keen attention to detail. Skilled in working with “real world” data including scrubbing, transformation, and imputation. • Proven problem solving skills – Able to plan work, set clear direction, and coordinate own tasks in a fast-paced multidisciplinary environment. Expert at triaging issues, identifying data anomalies, and debugging software. • Design and prototype new application functionality for our products. • Change oriented – actively generates process improvements; supports and drives change, and confronts difficult circumstances in creative ways • Effective communicator and change agent • Ability to prioritize the tasks of the project timeline to achieve the desired results • Strong analytic and problem solving skills • Ability to cooperatively and effectively work with people from various organization levels We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
3rd row	KnowBe4, Inc. is a high growth information security company. We are the world's largest provider of new-school security awareness training and simulated phishing. KnowBe4 was created to help organizations manage the ongoing problem of social engineering. Tens of thousands of organizations worldwide use KnowBe4's platform to mobilize their end users as a last line of defense and enable them to make better security decisions, every day. We are ranked #1 best place to work in technology nationwide by Fortune Magazine and have placed #1 or #2 in The Tampa Bay Top Workplaces Survey for the last four years. We also just had our 27th record-setting quarter in a row! The Data Scientist will work closely with the VP of FP&A and the Quantitative Analytics Manager to implement advanced analytical models and other data-driven solutions. Responsibilities: Work with key stakeholders throughout the organization to identify opportunities using financial data to develop business solutions. Develop new and enhance existing data collection procedures to ensure that all data relevant for analyses is captured. Cleanse, consolidate, and verify the integrity of data used in analyses. Build and validate predictive models to increase customer retention, revenue generation, and other business outcomes. Develop relevant statistical models to assist with profitability forecasting Create the analytics to leverage known, inferred and appended information about origins and recognizing patterns to assist in outlook forecasting Assist in the design and data modeling of data warehouse. Visualize data, especially in reports and dashboards, to communicate analysis results to stakeholders. Extend data collection to unstructured data within the company and external sources Mine and collect data (both structured and unstructured) to detect patterns, opportunities and insights that drive our organization Create and execute automation and data mining requests utilizing SQL, Access, Excel, SAS and other statistical programs Trouble shoot forecast and optimization anomalies with FP&A team through the use of statistical and mathematical optimization models. Develop testing to explain and or reduce these anomalies. Oversee and develop key metric forecasts as well as provide budget support based on trends in the business/industry. Minimum Qualifications: Master's degree in Statistics, Computer Science, Mathematics or other quantitative discipline required 2-3 years of experience in similar role (Master's Degree) 0-2 years of experience in similar role (PhD) Experience leveraging predictive modeling, big data analytics, exploratory data analysis and machine learning to drive significant business impact Experience with statistical computer languages (Python, R etc.) to manipulate and analyze large datasets preferred. Experience with data visualization tools like D3.js, matplotlib, etc., preferred Exceptional understanding of machine learning algorithms such as Random Forest, SVM, k-NN, Naïve Bayes, Gradient Boosting a plus. Applied statistical skills including statistical testing, regression, etc. Experience with data bases, query languages, and associated data architecture. Experience with distributed computing tools (Hive, Spark, etc.) is a plus. Strong analytical skills and ability to meet project deadlines. Note: An applicant assessment, background check and drug test may be part of your hiring procedure. No recruitment agencies, please.
4th row	Organization and Job ID* Job ID: 310709 Directorate: Earth & Biological Sciences Division: Biological Sciences Group: Exposure Science Team Job Description* The Biological System Science (BSS) Group in the Biological Sciences Division of the Pacific Northwest National Laboratory (PNNL) is seeking a staff scientist with multidisciplinary experience in computational chemistry, cheminformatics, advanced statistics and/or machine learning/deep learning/AI. Preferred candidates will have a broad understanding of the state of computational metabolomics and experience in designing and implementing novel deep learning networks for chemistry applications. Research experience in drug design, cheminformatics, deep learning, machine learning and/or small molecule identification is also highly valued. Successful candidates will join a large, uniquely collaborative, collegial group of innovators driving the integration of data science, computational science and analytical chemistry to solve the nations most challenging problems in human health, chemical forensics, and national security. The BSS Group is diverse and inclusive, working closely with colleagues across the laboratory with expertise in computational biology, integrative omics, applied mathematics, computer science, and statistics. + Apply knowledge of statistics, machine learning, advanced mathematics, simulation, software development, and data modeling to to design, development and implement methods that integrate, clean and analyze data, recognize patterns, address uncertainty, pose questions, and make discoveries from structured and/or unstructured data. + Produce solutions driven by exploratory data analysis from complex and high-dimensional datasets. + Design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from data. + Develop and maintain existing deep learning networks that generate novel molecules for drug discovery applications + Contribue or author proposals, peer-reviewed papers, and other technical products. Minimum Qualifications* BS/BA with 0-1 years of experience or MS/MA with 0-1 years of experience Preferred Qualifications* + MS in chemical engineering, computer science, or related field with a GPA of 3.5+ 5+ years of research experience + Intermediate level programming experience (preferably Python) and high-performance computing experience + At least one first author published, or proof of submitted, paper applying deep learning for use in novel compound generation + Understanding of the NMDA receptor and potential drug targets + Research experience in drug design, cheminformatics, deep learning, machine learning and/or small molecule identification Equal Employment Opportunity* Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov. _Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment._* _Directorate:_ _Earth & Biological Sciences_ _Job Category:_ _Scientists/Scientific Support_ _Group:_ _Biological Systems Science_ _Opening Date:_ _2020-03-26_ _Closing Date:_ _2020-04-05_
5th row	Data Scientist Affinity Solutions / Marketing Cloud seeks smart, curious, technically savvy candidates to join our cutting-edge data science team. We hire the best and brightest and give them the opportunity to work on industry-leading technologies. The data sciences team at AFS/Marketing Cloud build models, machine learning algorithms that power all our ad-tech/mar-tech products at scale, develop methodology and tools to precisely and effectively measure market campaign effects, and research in-house and public data sources for consumer spend behavior insights. In this role, you'll have the opportunity to come up with new ideas and solutions that will lead to improvement of our ability to target the right audience, derive insights and provide better measurement methodology for marketing campaigns. You'll access our core data asset and machine learning infrastructure to power your ideas. Duties and Responsibilities · Support all clients model building needs, including maintaining and improving current modeling/scoring methodology and processes, · Provide innovative solutions to customized modeling/scoring/targeting with appropriate ML/statistical tools, · Provide analytical/statistical support such as marketing test design, projection, campaign measurement, market insights to clients and stakeholders. · Mine large consumer datasets in the cloud environment to support ad hoc business and statistical analysis, · Develop and Improve automation capabilities to enable customized delivery of the analytical products to clients, · Communicate the methodologies and the results to the management, clients and none technical stakeholders. Basic Qualifications · Advanced degree in Statistics/Mathematics/Computer Science/Economics or other fields that requires advanced training in data analytics. · Being able to apply basic statistical/ML concepts and reasoning to address and solve business problems such as targeting, test design, KPI projection and performance measurement. · Entrepreneurial, highly self-motivated, collaborative, keen attention to detail, willingness and capable learn quickly, and ability to effectively prioritize and execute tasks in a high pressure environment. · Being flexible to accept different task assignments and able to work on a tight time schedule. · Excellent command of one or more programming languages; preferably Python, SAS or R · Familiar with one of the database technologies such as PostgreSQL, MySQL, can write basic SQL queries · Great communication skills (verbal, written and presentation) Preferred Qualifications · Experience or exposure to large consumer and/or demographic data sets. · Familiarity with data manipulation and cleaning routines and techniques.

Value	Count	Frequency (%)
and	29770	5.9%
to	16076	3.2%
the	12450	2.5%
of	12013	2.4%
data	9615	1.9%
in	8900	1.8%
a	8163	1.6%
with	7478	1.5%
for	5494	1.1%
experience	4747	0.9%
Other values (14720)	391241	77.3%

Most occurring characters

Value	Count	Frequency (%)
	475725	13.2%
e	338051	9.4%
i	249004	6.9%
a	246924	6.9%
t	243141	6.8%
n	236132	6.6%
o	210528	5.9%
s	186368	5.2%
r	185829	5.2%
l	132874	3.7%
Other values (113)	1092299	30.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3596875	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	475725	13.2%
e	338051	9.4%
i	249004	6.9%
a	246924	6.9%
t	243141	6.8%
n	236132	6.6%
o	210528	5.9%
s	186368	5.2%
r	185829	5.2%
l	132874	3.7%
Other values (113)	1092299	30.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3596875	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	475725	13.2%
e	338051	9.4%
i	249004	6.9%
a	246924	6.9%
t	243141	6.8%
n	236132	6.6%
o	210528	5.9%
s	186368	5.2%
r	185829	5.2%
l	132874	3.7%
Other values (113)	1092299	30.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3596875	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	475725	13.2%
e	338051	9.4%
i	249004	6.9%
a	246924	6.9%
t	243141	6.8%
n	236132	6.6%
o	210528	5.9%
s	186368	5.2%
r	185829	5.2%
l	132874	3.7%
Other values (113)	1092299	30.4%

Rating
Real number (ℝ)

Distinct	32
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.6012552

Minimum	-1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	34
Negative (%)	3.6%
Memory size	7.6 KiB

Quantile statistics

Minimum	-1
5-th percentile	2.3
Q1	3.3
median	3.8
Q3	4.2
95-th percentile	4.7
Maximum	5
Range	6
Interquartile range (IQR)	0.9

Descriptive statistics

Standard deviation	1.0676188
Coefficient of variation (CV)	0.29645742
Kurtosis	9.6793285
Mean	3.6012552
Median Absolute Deviation (MAD)	0.4
Skewness	-2.7421713
Sum	3442.8
Variance	1.1398099
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
3.8	75	7.8%
3.7	69	7.2%
3.9	69	7.2%
3.6	56	5.9%
4	56	5.9%
3.5	53	5.5%
3.4	47	4.9%
4.4	46	4.8%
3.3	44	4.6%
4.2	41	4.3%
Other values (22)	400	41.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	34	3.6%
1.9	3	0.3%
2.1	5	0.5%
2.2	3	0.3%
2.3	4	0.4%
2.4	8	0.8%
2.5	3	0.3%
2.6	14	1.5%
2.7	17	1.8%
2.8	7	0.7%

Value	Count	Frequency (%)
5	28	2.9%
4.9	4	0.4%
4.8	14	1.5%
4.7	38	4.0%
4.6	18	1.9%
4.5	19	2.0%
4.4	46	4.8%
4.3	39	4.1%
4.2	41	4.3%
4.1	37	3.9%

Company Name
Text

Distinct	448
Distinct (%)	46.9%
Missing	0
Missing (%)	0.0%
Memory size	7.6 KiB

Length

Max length	55
Median length	39
Mean length	19.302301
Min length	4

Characters and Unicode

Total characters	18453
Distinct characters	75
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	220 ?
Unique (%)	23.0%

Sample

1st row	Tecolote Research 3.8
2nd row	University of Maryland Medical System 3.4
3rd row	KnowBe4 4.8
4th row	PNNL 3.8
5th row	Affinity Solutions 2.9

Value	Count	Frequency (%)
3.8	75	2.6%
3.7	69	2.4%
3.9	69	2.4%
3.6	56	1.9%
4.0	56	1.9%
3.5	53	1.8%
3.4	47	1.6%
4.4	46	1.6%
3.3	44	1.5%
4.2	41	1.4%
Other values (676)	2337	80.8%

Most occurring characters

Value	Count	Frequency (%)
e	1322	7.2%
a	1118	6.1%
	1015	5.5%
.	978	5.3%
	922	5.0%
n	912	4.9%
t	900	4.9%
i	891	4.8%
r	839	4.5%
o	832	4.5%
Other values (65)	8724	47.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18453	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1322	7.2%
a	1118	6.1%
	1015	5.5%
.	978	5.3%
	922	5.0%
n	912	4.9%
t	900	4.9%
i	891	4.8%
r	839	4.5%
o	832	4.5%
Other values (65)	8724	47.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18453	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1322	7.2%
a	1118	6.1%
	1015	5.5%
.	978	5.3%
	922	5.0%
n	912	4.9%
t	900	4.9%
i	891	4.8%
r	839	4.5%
o	832	4.5%
Other values (65)	8724	47.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18453	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1322	7.2%
a	1118	6.1%
	1015	5.5%
.	978	5.3%
	922	5.0%
n	912	4.9%
t	900	4.9%
i	891	4.8%
r	839	4.5%
o	832	4.5%
Other values (65)	8724	47.3%

Location
Text

Distinct	237
Distinct (%)	24.8%
Missing	0
Missing (%)	0.0%
Memory size	7.6 KiB

Length

Max length	33
Median length	22
Mean length	13.17887
Min length	6

Characters and Unicode

Total characters	12599
Distinct characters	54
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	89 ?
Unique (%)	9.3%

Sample

1st row	Albuquerque, NM
2nd row	Linthicum, MD
3rd row	Clearwater, FL
4th row	Richland, WA
5th row	New York, NY

Value	Count	Frequency (%)
ca	211	9.4%
ma	124	5.5%
san	121	5.4%
ny	96	4.3%
francisco	89	4.0%
new	82	3.7%
york	78	3.5%
cambridge	60	2.7%
va	56	2.5%
il	48	2.1%
Other values (293)	1280	57.0%

Most occurring characters

Value	Count	Frequency (%)
	1289	10.2%
,	947	7.5%
a	809	6.4%
o	688	5.5%
n	688	5.5%
e	653	5.2%
i	630	5.0%
A	578	4.6%
r	557	4.4%
l	437	3.5%
Other values (44)	5323	42.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12599	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	1289	10.2%
,	947	7.5%
a	809	6.4%
o	688	5.5%
n	688	5.5%
e	653	5.2%
i	630	5.0%
A	578	4.6%
r	557	4.4%
l	437	3.5%
Other values (44)	5323	42.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12599	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	1289	10.2%
,	947	7.5%
a	809	6.4%
o	688	5.5%
n	688	5.5%
e	653	5.2%
i	630	5.0%
A	578	4.6%
r	557	4.4%
l	437	3.5%
Other values (44)	5323	42.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12599	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	1289	10.2%
,	947	7.5%
a	809	6.4%
o	688	5.5%
n	688	5.5%
e	653	5.2%
i	630	5.0%
A	578	4.6%
r	557	4.4%
l	437	3.5%
Other values (44)	5323	42.2%

Headquarters
Text

Distinct	235
Distinct (%)	24.6%
Missing	0
Missing (%)	0.0%
Memory size	7.6 KiB

Length

Max length	26
Median length	22
Mean length	13.605649
Min length	2

Characters and Unicode

Total characters	13007
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	83 ?
Unique (%)	8.7%

Sample

1st row	Goleta, CA
2nd row	Baltimore, MD
3rd row	Clearwater, FL
4th row	Richland, WA
5th row	New York, NY

Value	Count	Frequency (%)
ca	223	9.7%
san	103	4.5%
ma	101	4.4%
ny	86	3.7%
new	78	3.4%
york	75	3.2%
va	72	3.1%
francisco	65	2.8%
il	42	1.8%
pa	36	1.6%
Other values (297)	1427	61.8%

Most occurring characters

Value	Count	Frequency (%)
	1352	10.4%
,	945	7.3%
a	858	6.6%
n	770	5.9%
e	715	5.5%
o	673	5.2%
i	632	4.9%
A	579	4.5%
r	547	4.2%
l	494	3.8%
Other values (45)	5442	41.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13007	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	1352	10.4%
,	945	7.3%
a	858	6.6%
n	770	5.9%
e	715	5.5%
o	673	5.2%
i	632	4.9%
A	579	4.5%
r	547	4.2%
l	494	3.8%
Other values (45)	5442	41.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13007	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	1352	10.4%
,	945	7.3%
a	858	6.6%
n	770	5.9%
e	715	5.5%
o	673	5.2%
i	632	4.9%
A	579	4.5%
r	547	4.2%
l	494	3.8%
Other values (45)	5442	41.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13007	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	1352	10.4%
,	945	7.3%
a	858	6.6%
n	770	5.9%
e	715	5.5%
o	673	5.2%
i	632	4.9%
A	579	4.5%
r	547	4.2%
l	494	3.8%
Other values (45)	5442	41.8%

Size
Categorical

Distinct	9
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	7.6 KiB

1001 to 5000 employees	177
201 to 500 employees	160
51 to 200 employees	155
10000+ employees	154
501 to 1000 employees	144
Other values (4)	166

Length

Max length	23
Median length	21
Mean length	19.359833
Min length	2

Characters and Unicode

Total characters	18508
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	501 to 1000 employees
2nd row	10000+ employees
3rd row	501 to 1000 employees
4th row	1001 to 5000 employees
5th row	51 to 200 employees

Common Values

Value	Count	Frequency (%)
1001 to 5000 employees	177	18.5%
201 to 500 employees	160	16.7%
51 to 200 employees	155	16.2%
10000+ employees	154	16.1%
501 to 1000 employees	144	15.1%
5001 to 10000 employees	79	8.3%
1 to 50 employees	61	6.4%
Unknown	15	1.6%
-1	11	1.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
employees	930	27.1%
to	776	22.6%
10000	233	6.8%
1001	177	5.1%
5000	177	5.1%
201	160	4.7%
500	160	4.7%
51	155	4.5%
200	155	4.5%
501	144	4.2%
Other values (5)	371	10.8%

Most occurring characters

Value	Count	Frequency (%)
0	3402	18.4%
e	2790	15.1%
	2482	13.4%
o	1721	9.3%
1	1341	7.2%
p	930	5.0%
s	930	5.0%
y	930	5.0%
l	930	5.0%
m	930	5.0%
Other values (9)	2122	11.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18508	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3402	18.4%
e	2790	15.1%
	2482	13.4%
o	1721	9.3%
1	1341	7.2%
p	930	5.0%
s	930	5.0%
y	930	5.0%
l	930	5.0%
m	930	5.0%
Other values (9)	2122	11.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18508	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3402	18.4%
e	2790	15.1%
	2482	13.4%
o	1721	9.3%
1	1341	7.2%
p	930	5.0%
s	930	5.0%
y	930	5.0%
l	930	5.0%
m	930	5.0%
Other values (9)	2122	11.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18508	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3402	18.4%
e	2790	15.1%
	2482	13.4%
o	1721	9.3%
1	1341	7.2%
p	930	5.0%
s	930	5.0%
y	930	5.0%
l	930	5.0%
m	930	5.0%
Other values (9)	2122	11.5%

Founded
Real number (ℝ)

Distinct	109
Distinct (%)	11.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1774.6056

Minimum	-1
Maximum	2019
Zeros	0
Zeros (%)	0.0%
Negative	97
Negative (%)	10.1%
Memory size	7.6 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	1937
median	1992
Q3	2008
95-th percentile	2015
Maximum	2019
Range	2020
Interquartile range (IQR)	71

Descriptive statistics

Standard deviation	598.94252
Coefficient of variation (CV)	0.33750739
Kurtosis	4.9000164
Mean	1774.6056
Median Absolute Deviation (MAD)	20
Skewness	-2.6126243
Sum	1696523
Variance	358732.14
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	97	10.1%
2008	40	4.2%
2010	38	4.0%
1996	38	4.0%
2013	33	3.5%
2006	26	2.7%
2002	25	2.6%
2012	24	2.5%
2007	22	2.3%
2011	22	2.3%
Other values (99)	591	61.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	97	10.1%
1744	1	0.1%
1781	14	1.5%
1812	1	0.1%
1830	4	0.4%
1846	2	0.2%
1849	7	0.7%
1850	1	0.1%
1851	14	1.5%
1852	5	0.5%

Value	Count	Frequency (%)
2019	4	0.4%
2018	2	0.2%
2017	15	1.6%
2016	15	1.6%
2015	21	2.2%
2014	21	2.2%
2013	33	3.5%
2012	24	2.5%
2011	22	2.3%
2010	38	4.0%

Type of ownership
Categorical

Distinct	13
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	7.6 KiB

Company - Private	532
Company - Public	237
Nonprofit Organization	65
Subsidiary or Business Segment	40
Government	17
Other values (8)	65

Length

Max length	30
Median length	17
Mean length	17.108787
Min length	2

Characters and Unicode

Total characters	16356
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	Company - Private
2nd row	Other Organization
3rd row	Company - Private
4th row	Government
5th row	Company - Private

Common Values

Value	Count	Frequency (%)
Company - Private	532	55.6%
Company - Public	237	24.8%
Nonprofit Organization	65	6.8%
Subsidiary or Business Segment	40	4.2%
Government	17	1.8%
Hospital	15	1.6%
College / University	15	1.6%
Unknown	11	1.2%
-1	11	1.2%
Other Organization	5	0.5%
Other values (3)	8	0.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	787	28.9%
company	769	28.2%
private	533	19.6%
public	237	8.7%
organization	70	2.6%
nonprofit	65	2.4%
subsidiary	40	1.5%
or	40	1.5%
business	40	1.5%
segment	40	1.5%
Other values (12)	102	3.7%

Most occurring characters

Value	Count	Frequency (%)
	1767	10.8%
a	1503	9.2%
i	1146	7.0%
n	1141	7.0%
o	1080	6.6%
p	849	5.2%
m	827	5.1%
y	824	5.0%
r	794	4.9%
C	789	4.8%
Other values (28)	5636	34.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	16356	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	1767	10.8%
a	1503	9.2%
i	1146	7.0%
n	1141	7.0%
o	1080	6.6%
p	849	5.2%
m	827	5.1%
y	824	5.0%
r	794	4.9%
C	789	4.8%
Other values (28)	5636	34.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	16356	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	1767	10.8%
a	1503	9.2%
i	1146	7.0%
n	1141	7.0%
o	1080	6.6%
p	849	5.2%
m	827	5.1%
y	824	5.0%
r	794	4.9%
C	789	4.8%
Other values (28)	5636	34.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	16356	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	1767	10.8%
a	1503	9.2%
i	1146	7.0%
n	1141	7.0%
o	1080	6.6%
p	849	5.2%
m	827	5.1%
y	824	5.0%
r	794	4.9%
C	789	4.8%
Other values (28)	5636	34.5%

Industry
Text

Distinct	63
Distinct (%)	6.6%
Missing	0
Missing (%)	0.0%
Memory size	7.6 KiB

Length

Max length	40
Median length	35
Mean length	21.130753
Min length	2

Characters and Unicode

Total characters	20201
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	1.4%

Sample

1st row	Aerospace & Defense
2nd row	Health Care Services & Hospitals
3rd row	Security Services
4th row	Energy
5th row	Advertising & Marketing

Value	Count	Frequency (%)
	532	19.7%
services	150	5.6%
biotech	148	5.5%
pharmaceuticals	148	5.5%
software	126	4.7%
it	77	2.8%
insurance	71	2.6%
computer	70	2.6%
hardware	70	2.6%
carriers	65	2.4%
Other values (105)	1245	46.1%

Most occurring characters

Value	Count	Frequency (%)
e	2143	10.6%
	1746	8.6%
r	1600	7.9%
a	1469	7.3%
t	1319	6.5%
i	1258	6.2%
s	1177	5.8%
n	1049	5.2%
c	955	4.7%
o	952	4.7%
Other values (42)	6533	32.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	20201	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	2143	10.6%
	1746	8.6%
r	1600	7.9%
a	1469	7.3%
t	1319	6.5%
i	1258	6.2%
s	1177	5.8%
n	1049	5.2%
c	955	4.7%
o	952	4.7%
Other values (42)	6533	32.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	20201	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	2143	10.6%
	1746	8.6%
r	1600	7.9%
a	1469	7.3%
t	1319	6.5%
i	1258	6.2%
s	1177	5.8%
n	1049	5.2%
c	955	4.7%
o	952	4.7%
Other values (42)	6533	32.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	20201	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	2143	10.6%
	1746	8.6%
r	1600	7.9%
a	1469	7.3%
t	1319	6.5%
i	1258	6.2%
s	1177	5.8%
n	1049	5.2%
c	955	4.7%
o	952	4.7%
Other values (42)	6533	32.3%

Sector
Categorical

Distinct	25
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Memory size	7.6 KiB

Information Technology	239
Biotech & Pharmaceuticals	148
Business Services	134
Insurance	71
Finance	56
Other values (20)	308

Length

Max length	34
Median length	28
Mean length	16.828452
Min length	2

Characters and Unicode

Total characters	16088
Distinct characters	42
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.2%

Sample

1st row	Aerospace & Defense
2nd row	Health Care
3rd row	Business Services
4th row	Oil, Gas, Energy & Utilities
5th row	Business Services

Common Values

Value	Count	Frequency (%)
Information Technology	239	25.0%
Biotech & Pharmaceuticals	148	15.5%
Business Services	134	14.0%
Insurance	71	7.4%
Finance	56	5.9%
Health Care	51	5.3%
Manufacturing	40	4.2%
-1	39	4.1%
Aerospace & Defense	32	3.3%
Education	26	2.7%
Other values (15)	120	12.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
information	239	12.7%
technology	239	12.7%
	224	11.9%
biotech	148	7.9%
pharmaceuticals	148	7.9%
services	138	7.3%
business	134	7.1%
insurance	71	3.8%
finance	56	3.0%
health	51	2.7%
Other values (34)	430	22.9%

Most occurring characters

Value	Count	Frequency (%)
e	1493	9.3%
n	1376	8.6%
o	1269	7.9%
a	1164	7.2%
i	1106	6.9%
c	1081	6.7%
	922	5.7%
s	915	5.7%
r	823	5.1%
t	811	5.0%
Other values (32)	5128	31.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	16088	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1493	9.3%
n	1376	8.6%
o	1269	7.9%
a	1164	7.2%
i	1106	6.9%
c	1081	6.7%
	922	5.7%
s	915	5.7%
r	823	5.1%
t	811	5.0%
Other values (32)	5128	31.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	16088	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1493	9.3%
n	1376	8.6%
o	1269	7.9%
a	1164	7.2%
i	1106	6.9%
c	1081	6.7%
	922	5.7%
s	915	5.7%
r	823	5.1%
t	811	5.0%
Other values (32)	5128	31.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	16088	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1493	9.3%
n	1376	8.6%
o	1269	7.9%
a	1164	7.2%
i	1106	6.9%
c	1081	6.7%
	922	5.7%
s	915	5.7%
r	823	5.1%
t	811	5.0%
Other values (32)	5128	31.9%

Revenue
Categorical

Distinct	14
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	7.6 KiB

Unknown / Non-Applicable	299
$10+ billion (USD)	140
$100 to $500 million (USD)	107
$1 to $2 billion (USD)	68
$500 million to $1 billion (USD)	62
Other values (9)	280

Length

Max length	32
Median length	26
Mean length	23.362971
Min length	2

Characters and Unicode

Total characters	22335
Distinct characters	32
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$50 to $100 million (USD)
2nd row	$2 to $5 billion (USD)
3rd row	$100 to $500 million (USD)
4th row	$500 million to $1 billion (USD)
5th row	Unknown / Non-Applicable

Common Values

Value	Count	Frequency (%)
Unknown / Non-Applicable	299	31.3%
$10+ billion (USD)	140	14.6%
$100 to $500 million (USD)	107	11.2%
$1 to $2 billion (USD)	68	7.1%
$500 million to $1 billion (USD)	62	6.5%
$25 to $50 million (USD)	59	6.2%
$50 to $100 million (USD)	52	5.4%
$2 to $5 billion (USD)	44	4.6%
$10 to $25 million (USD)	39	4.1%
$5 to $10 million (USD)	29	3.0%
Other values (4)	57	6.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
usd	646	16.5%
to	497	12.7%
million	374	9.5%
billion	334	8.5%
unknown	299	7.6%
	299	7.6%
non-applicable	299	7.6%
10	228	5.8%
500	169	4.3%
1	167	4.3%
Other values (7)	608	15.5%

Most occurring characters

Value	Count	Frequency (%)
	2964	13.3%
l	2014	9.0%
n	1913	8.6%
o	1803	8.1%
i	1715	7.7%
$	1143	5.1%
0	995	4.5%
U	945	4.2%
(	646	2.9%
S	646	2.9%
Other values (22)	7551	33.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	22335	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	2964	13.3%
l	2014	9.0%
n	1913	8.6%
o	1803	8.1%
i	1715	7.7%
$	1143	5.1%
0	995	4.5%
U	945	4.2%
(	646	2.9%
S	646	2.9%
Other values (22)	7551	33.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	22335	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	2964	13.3%
l	2014	9.0%
n	1913	8.6%
o	1803	8.1%
i	1715	7.7%
$	1143	5.1%
0	995	4.5%
U	945	4.2%
(	646	2.9%
S	646	2.9%
Other values (22)	7551	33.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	22335	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	2964	13.3%
l	2014	9.0%
n	1913	8.6%
o	1803	8.1%
i	1715	7.7%
$	1143	5.1%
0	995	4.5%
U	945	4.2%
(	646	2.9%
S	646	2.9%
Other values (22)	7551	33.8%

Competitors
Text

Distinct	149
Distinct (%)	15.6%
Missing	0
Missing (%)	0.0%
Memory size	7.6 KiB

Length

Max length	92
Median length	2
Mean length	14.25
Min length	2

Characters and Unicode

Total characters	13623
Distinct characters	65
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	66 ?
Unique (%)	6.9%

Sample

1st row	-1
2nd row	-1
3rd row	-1
4th row	Oak Ridge National Laboratory, National Renewable Energy Lab, Los Alamos National Laboratory
5th row	Commerce Signals, Cardlytics, Yodlee

Value	Count	Frequency (%)
1	634	29.3%
national	44	2.0%
laboratory	28	1.3%
novartis	25	1.2%
group	21	1.0%
pfizer	20	0.9%
	17	0.8%
glaxosmithkline	17	0.8%
international	17	0.8%
los	17	0.8%
Other values (491)	1323	61.2%

Most occurring characters

Value	Count	Frequency (%)
	1207	8.9%
e	1065	7.8%
a	903	6.6%
o	743	5.5%
t	741	5.4%
i	697	5.1%
r	693	5.1%
-	643	4.7%
n	643	4.7%
1	634	4.7%
Other values (55)	5654	41.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13623	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	1207	8.9%
e	1065	7.8%
a	903	6.6%
o	743	5.5%
t	741	5.4%
i	697	5.1%
r	693	5.1%
-	643	4.7%
n	643	4.7%
1	634	4.7%
Other values (55)	5654	41.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13623	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	1207	8.9%
e	1065	7.8%
a	903	6.6%
o	743	5.5%
t	741	5.4%
i	697	5.1%
r	693	5.1%
-	643	4.7%
n	643	4.7%
1	634	4.7%
Other values (55)	5654	41.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13623	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	1207	8.9%
e	1065	7.8%
a	903	6.6%
o	743	5.5%
t	741	5.4%
i	697	5.1%
r	693	5.1%
-	643	4.7%
n	643	4.7%
1	634	4.7%
Other values (55)	5654	41.5%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Unnamed: 0	Job Title	Salary Estimate	Job Description	Rating	Company Name	Location	Headquarters	Size	Founded	Type of ownership	Industry	Sector	Revenue	Competitors
0	0	Data Scientist	$53K-$91K (Glassdoor est.)	Data Scientist\nLocation: Albuquerque, NM\nEducation Required: Bachelor’s degree required, preferably in math, engineering, business, or the sciences.\nSkills Required:\nBachelor’s Degree in relevant field, e.g., math, data analysis, database, computer science, Artificial Intelligence (AI); three years’ experience credit for Master’s degree; five years’ experience credit for a Ph.D\nApplicant should be proficient in the use of Power BI, Tableau, Python, MATLAB, Microsoft Word, PowerPoint, Excel, and working knowledge of MS Access, LMS, SAS, data visualization tools, and have a strong algorithmic aptitude\nExcellent verbal and written communication skills, and quantitative analytical skills are required\nApplicant must be able to work in a team environment\nU.S. citizenship and ability to obtain a DoD Secret Clearance required\nResponsibilities: The applicant will be responsible for formulating analytical solutions to complex data problems; creating data analytic models to improve data metrics; analyzing customer behavior and trends; delivering insights to stakeholders, as well as designing and crafting reports, dashboards, models, and algorithms to make data insights actionable; selecting features, building and optimizing classifiers using machine learning techniques; data mining using state-of-the-art methods, extending organization’s data with third party sources of information when needed; enhancing data collection procedures to include information that is relevant for building analytic systems; processing, cleansing, and verifying the integrity of data used for analysis; doing ad-hoc analysis and presenting results in a clear manner; and creating automated anomaly detection systems and constant tracking of its performance.\nBenefits:\nWe offer competitive salaries commensurate with education and experience. We have an excellent benefits package that includes:\nComprehensive health, dental, life, long and short term disability insurance\n100% Company funded Retirement Plans\nGenerous vacation, holiday and sick pay plans\nTuition assistance\n\nBenefits are provided to employees regularly working a minimum of 30 hours per week.\n\nTecolote Research is a private, employee-owned corporation where people are our primary resource. Our investments in technology and training give our employees the tools to ensure our clients are provided the solutions they need, and our very high employee retention rate and stable workforce is an added value to our customers. Apply now to connect with a company that invests in you.	3.8	Tecolote Research\n3.8	Albuquerque, NM	Goleta, CA	501 to 1000 employees	1973	Company - Private	Aerospace & Defense	Aerospace & Defense	$50 to $100 million (USD)	-1
1	1	Healthcare Data Scientist	$63K-$112K (Glassdoor est.)	What You Will Do:\n\nI. General Summary\n\nThe Healthcare Data Scientist position will join our Advanced Analytics group at the University of Maryland Medical System (UMMS) in support of its strategic priority to become a data-driven and outcomes-oriented organization. The successful candidate will have 3+ years of experience with Machine Learning, Predictive Modeling, Statistical Analysis, Mathematical Optimization, Algorithm Development and a passion for working with healthcare data. Previous experience with various computational approaches along with an ability to demonstrate a portfolio of relevant prior projects is essential. This position will report to the UMMS Vice President for Enterprise Data and Analytics (ED&A).\n\nII. Principal Responsibilities and Tasks\n\n• Develops predictive and prescriptive analytic models in support of the organization’s clinical, operations and business initiatives and priorities.\n• Deploys solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems\n• Supports and drives analytic efforts designed around organization’s strategic priorities and clinical/business problems\n• Works in a team to drive disruptive innovation, which may translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies and process improvements.\n• Builds and extends our analytics portfolio supported by robust documentation\n• Works with autonomy to find solutions to complex problems using open source tools and in-house development\n• Stays abreast of state-of-the-art literature in the fields of operations research, statistical modeling, statistical process control and mathematical optimization\n• Creates, communicates, and manages the project plans and other required project documentation and provides updates to leadership as necessary\n• Develops and maintains relationships with business, IT and clinical leaders and stakeholders across the enterprise to facilitate collaboration and effective communication\n• Works with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot settings\n• Performs analysis to evaluate primary and secondary objectives from such pilots\n• Assists leadership with strategies for scaling successful projects across the organization and enhances the analytics applications based on feedback from end-users and clinical/business consumers\n• Assists leadership with dissemination of success stories (and failures) in an effort to increase analytics literacy and adoption across the organization.\n\nWhat You Need to Be Successful:\n\nIII. Education and Experience\n\n• Master’s or higher degree (may be substituted by relevant work experience) in applied mathematics, physics, computer science, engineering, statistics or a related field\n• 3+ years of Mathematical Optimization, Machine Learning, Predictive Analytics and Algorithm Development experience (experience with tools such as WEKA, RapidMiner, R. Python or other open source tools strongly desired)\n• Strong development skills in two or more of the following: C/C++, C#, Python, Java\n• Combining analytic methods with advanced data visualizations\n• Expert ability to breakdown and clearly define problems\n• Experience with Natural Language Processing preferred\n\nIV. Knowledge, Skills and Abilities\n\n• Proven communications skills – Effective at working independently and in collaboration with other staff members. Capable of clearly presenting findings orally, in writing, or through graphics.\n• Proven analytical skills – Able to compare, contrast, and validate work with keen attention to detail. Skilled in working with “real world” data including scrubbing, transformation, and imputation.\n• Proven problem solving skills – Able to plan work, set clear direction, and coordinate own tasks in a fast-paced multidisciplinary environment. Expert at triaging issues, identifying data anomalies, and debugging software.\n• Design and prototype new application functionality for our products.\n• Change oriented – actively generates process improvements; supports and drives change, and confronts difficult circumstances in creative ways\n• Effective communicator and change agent\n• Ability to prioritize the tasks of the project timeline to achieve the desired results\n• Strong analytic and problem solving skills\n• Ability to cooperatively and effectively work with people from various organization levels\n\nWe are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.	3.4	University of Maryland Medical System\n3.4	Linthicum, MD	Baltimore, MD	10000+ employees	1984	Other Organization	Health Care Services & Hospitals	Health Care	$2 to $5 billion (USD)	-1
2	2	Data Scientist	$80K-$90K (Glassdoor est.)	KnowBe4, Inc. is a high growth information security company. We are the world's largest provider of new-school security awareness training and simulated phishing. KnowBe4 was created to help organizations manage the ongoing problem of social engineering. Tens of thousands of organizations worldwide use KnowBe4's platform to mobilize their end users as a last line of defense and enable them to make better security decisions, every day.\n\nWe are ranked #1 best place to work in technology nationwide by Fortune Magazine and have placed #1 or #2 in The Tampa Bay Top Workplaces Survey for the last four years. We also just had our 27th record-setting quarter in a row!\n\nThe Data Scientist will work closely with the VP of FP&A and the Quantitative Analytics Manager to implement advanced analytical models and other data-driven solutions.\n\nResponsibilities:\nWork with key stakeholders throughout the organization to identify opportunities using financial data to develop business solutions.\nDevelop new and enhance existing data collection procedures to ensure that all data relevant for analyses is captured.\nCleanse, consolidate, and verify the integrity of data used in analyses.\nBuild and validate predictive models to increase customer retention, revenue generation, and other business outcomes.\nDevelop relevant statistical models to assist with profitability forecasting\nCreate the analytics to leverage known, inferred and appended information about origins and recognizing patterns to assist in outlook forecasting\nAssist in the design and data modeling of data warehouse.\nVisualize data, especially in reports and dashboards, to communicate analysis results to stakeholders.\nExtend data collection to unstructured data within the company and external sources\nMine and collect data (both structured and unstructured) to detect patterns, opportunities and insights that drive our organization\nCreate and execute automation and data mining requests utilizing SQL, Access, Excel, SAS and other statistical programs\nTrouble shoot forecast and optimization anomalies with FP&A team through the use of statistical and mathematical optimization models. Develop testing to explain and or reduce these anomalies.\nOversee and develop key metric forecasts as well as provide budget support based on trends in the business/industry.\nMinimum Qualifications:\nMaster's degree in Statistics, Computer Science, Mathematics or other quantitative discipline required\n2-3 years of experience in similar role (Master's Degree)\n0-2 years of experience in similar role (PhD)\nExperience leveraging predictive modeling, big data analytics, exploratory data analysis and machine learning to drive significant business impact\nExperience with statistical computer languages (Python, R etc.) to manipulate and analyze large datasets preferred.\nExperience with data visualization tools like D3.js, matplotlib, etc., preferred\nExceptional understanding of machine learning algorithms such as Random Forest, SVM, k-NN, Naïve Bayes, Gradient Boosting a plus.\nApplied statistical skills including statistical testing, regression, etc.\nExperience with data bases, query languages, and associated data architecture.\nExperience with distributed computing tools (Hive, Spark, etc.) is a plus.\nStrong analytical skills and ability to meet project deadlines.\nNote: An applicant assessment, background check and drug test may be part of your hiring procedure.\n\nNo recruitment agencies, please.	4.8	KnowBe4\n4.8	Clearwater, FL	Clearwater, FL	501 to 1000 employees	2010	Company - Private	Security Services	Business Services	$100 to $500 million (USD)	-1
3	3	Data Scientist	$56K-$97K (Glassdoor est.)	Organization and Job ID\nJob ID: 310709\n\nDirectorate: Earth & Biological Sciences\n\nDivision: Biological Sciences\n\nGroup: Exposure Science Team\nJob Description*\nThe Biological System Science (BSS) Group in the Biological Sciences Division of the Pacific Northwest National Laboratory (PNNL) is seeking a staff scientist with multidisciplinary experience in computational chemistry, cheminformatics, advanced statistics and/or machine learning/deep learning/AI. Preferred candidates will have a broad understanding of the state of computational metabolomics and experience in designing and implementing novel deep learning networks for chemistry applications. Research experience in drug design, cheminformatics, deep learning, machine learning and/or small molecule identification is also highly valued. Successful candidates will join a large, uniquely collaborative, collegial group of innovators driving the integration of data science, computational science and analytical chemistry to solve the nations most challenging problems in human health, chemical forensics, and national security. The BSS Group is diverse and inclusive, working closely with colleagues across the laboratory with expertise in computational biology, integrative omics, applied mathematics, computer science, and statistics.\n\n+ Apply knowledge of statistics, machine learning, advanced mathematics, simulation, software development, and data modeling to to design, development and implement methods that integrate, clean and analyze data, recognize patterns, address uncertainty, pose questions, and make discoveries from structured and/or unstructured data.\n\n+ Produce solutions driven by exploratory data analysis from complex and high-dimensional datasets.\n\n+ Design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from data.\n\n+ Develop and maintain existing deep learning networks that generate novel molecules for drug discovery applications\n\n+ Contribue or author proposals, peer-reviewed papers, and other technical products.\nMinimum Qualifications*\nBS/BA with 0-1 years of experience or MS/MA with 0-1 years of experience\nPreferred Qualifications*\n+ MS in chemical engineering, computer science, or related field with a GPA of 3.5+ 5+ years of research experience\n\n+ Intermediate level programming experience (preferably Python) and high-performance computing experience\n\n+ At least one first author published, or proof of submitted, paper applying deep learning for use in novel compound generation\n\n+ Understanding of the NMDA receptor and potential drug targets\n\n+ Research experience in drug design, cheminformatics, deep learning, machine learning and/or small molecule identification\nEqual Employment Opportunity*\nBattelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.\n_Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment._**\n_Directorate:_ _Earth & Biological Sciences_\n\n_Job Category:_ _Scientists/Scientific Support_\n\n_Group:_ _Biological Systems Science_\n\n_Opening Date:_ _2020-03-26_\n\n_Closing Date:_ _2020-04-05_	3.8	PNNL\n3.8	Richland, WA	Richland, WA	1001 to 5000 employees	1965	Government	Energy	Oil, Gas, Energy & Utilities	$500 million to $1 billion (USD)	Oak Ridge National Laboratory, National Renewable Energy Lab, Los Alamos National Laboratory
4	4	Data Scientist	$86K-$143K (Glassdoor est.)	Data Scientist\nAffinity Solutions / Marketing Cloud seeks smart, curious, technically savvy candidates to join our cutting-edge data science team. We hire the best and brightest and give them the opportunity to work on industry-leading technologies.\nThe data sciences team at AFS/Marketing Cloud build models, machine learning algorithms that power all our ad-tech/mar-tech products at scale, develop methodology and tools to precisely and effectively measure market campaign effects, and research in-house and public data sources for consumer spend behavior insights. In this role, you'll have the opportunity to come up with new ideas and solutions that will lead to improvement of our ability to target the right audience, derive insights and provide better measurement methodology for marketing campaigns. You'll access our core data asset and machine learning infrastructure to power your ideas.\nDuties and Responsibilities\n· Support all clients model building needs, including maintaining and improving current modeling/scoring methodology and processes,\n· Provide innovative solutions to customized modeling/scoring/targeting with appropriate ML/statistical tools,\n· Provide analytical/statistical support such as marketing test design, projection, campaign measurement, market insights to clients and stakeholders.\n· Mine large consumer datasets in the cloud environment to support ad hoc business and statistical analysis,\n· Develop and Improve automation capabilities to enable customized delivery of the analytical products to clients,\n· Communicate the methodologies and the results to the management, clients and none technical stakeholders.\nBasic Qualifications\n· Advanced degree in Statistics/Mathematics/Computer Science/Economics or other fields that requires advanced training in data analytics.\n· Being able to apply basic statistical/ML concepts and reasoning to address and solve business problems such as targeting, test design, KPI projection and performance measurement.\n· Entrepreneurial, highly self-motivated, collaborative, keen attention to detail, willingness and capable learn quickly, and ability to effectively prioritize and execute tasks in a high pressure environment.\n· Being flexible to accept different task assignments and able to work on a tight time schedule.\n· Excellent command of one or more programming languages; preferably Python, SAS or R\n· Familiar with one of the database technologies such as PostgreSQL, MySQL, can write basic SQL queries\n· Great communication skills (verbal, written and presentation)\nPreferred Qualifications\n· Experience or exposure to large consumer and/or demographic data sets.\n· Familiarity with data manipulation and cleaning routines and techniques.	2.9	Affinity Solutions\n2.9	New York, NY	New York, NY	51 to 200 employees	1998	Company - Private	Advertising & Marketing	Business Services	Unknown / Non-Applicable	Commerce Signals, Cardlytics, Yodlee
5	5	Data Scientist	$71K-$119K (Glassdoor est.)	CyrusOne is seeking a talented Data Scientist who holds a range of data-focused skills both in technical and analytical domains. The ideal candidate is adept at processing, cleansing, and verifying the integrity of data used for visualization and analysis. This role is dynamic, granting the candidate the opportunity to participate in a wide variety of projects and collaborate with many cross-functional teams throughout the business.\n\nDuties and Responsibilities:\nParticipate in an agile scrum cadence\nProcess, cleanse, and verify the integrity of data used for analysis\nPerform functional business requirements analysis and data analysis\nDevelop data models and algorithms to apply to data sets\nAugment data collection procedures to include necessary information for building accurate analytics\nCollaborate with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions\nEvaluate the effectiveness and accuracy of data sources and data gathering techniques\nGather critical information from meetings with various stakeholders and produce useful reports\nCoordinate with cross-functional teams to implement models and monitor outcomes\nDevelop automated discrepancy detection systems and distribute reconciliation reports to stakeholders\nRequirements:\nMust be legally authorized to work in the United States for any employer without sponsorship\nProfessional experience using statistical software languages like R, Python, and SQL to query, manipulate, and draw insights from data sets\nStrong problem-solving skills with an emphasis on product development\nExtensive experience with Microsoft SQL, MySQL and MongoDB\nUnderstanding of version control (git) and project management with Azure DevOps\nKnowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)\nExperience visualizing data for stakeholders using visualization tools such as Power BI\nExperience working with and creating data architectures\nUnderstanding and adherence to agile principles and practices\nAbility to work on problems of any scope where the analysis of situations or data requires a review of a variety of factors\nSelf-maintainability and reliability with minimal supervision\nExcellent interpersonal communication, decision making, presentation, and organizational skills\nAbility to build productive internal/external working relationships\nHarmonious with CyrusOne culture, core values, and business goals\nMinimum Qualifications:\n2+ years of related experience in a data analyst role\nStrong can-do attitude in a time sensitive environment\nOther important information about this position:\nThis position requires typical weekday (Monday - Friday) attendance in an office setting, at times after hours work may be required to meet business and customer needs\nEvery position requires certain physical capabilities. CyrusOne seeks to make reasonable accommodations that enable individuals with disabilities to perform essential duties when possible\nCyrusOne is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.\n\nCyrusOne provides reasonable accommodation for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and any other state or local laws. We will respond to requests for reasonable accommodations to assist you in applying for positions at CyrusOne, or to submit a resume. If you need to request an accommodation, please contact our Human Resources at 214.488.1365 (Option 7) or by email at HR@cyrusone.com.	3.4	CyrusOne\n3.4	Dallas, TX	Dallas, TX	201 to 500 employees	2000	Company - Public	Real Estate	Real Estate	$1 to $2 billion (USD)	Digital Realty, CoreSite, Equinix
6	6	Data Scientist	$54K-$93K (Glassdoor est.)	Job Description\n\nPlease only local candidates apply - thank you\n\nClearOne Advantage is a fast-growing company that is aggressively hiring due to increased business. We are always improving our marketing, culture and technology to provide our employees with the best work atmosphere and our customers with excellent customer service. COA’s proprietary software is tailored to our industry and allows the client to receive the best service possible.\n\nWe are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.\n\nIf you are looking to work in a team environment, a place where you are more a name than a number, where you interact with leadership daily, then please send your resume for review!\n\nPerks:\nGreat location, right on the water in the Canton Crossing Tower\nCasual work environment and WFH flexibility\nRoom for advancement\nWhat you'll be doing:\nIdentify valuable data sources and automate collection processes\nUndertake preprocessing of structured and unstructured data\nAnalyze large amounts of information to discover trends and patterns\nBuild predictive models and machine-learning algorithms\nCombine models through ensemble modeling\nPresent information using data visualization techniques\nPropose solutions and strategies to business challenges\nCollaborate with engineering and product development teams	4.1	ClearOne Advantage\n4.1	Baltimore, MD	Baltimore, MD	501 to 1000 employees	2008	Company - Private	Banks & Credit Unions	Finance	Unknown / Non-Applicable	-1
7	7	Data Scientist	$86K-$142K (Glassdoor est.)	Advanced Analytics – Lead Data Scientist\nOverview\n\n\nWe are looking for a Data Scientist to join our Data Science team to work on interesting projects to help our clients make data driven solutions. As a Data Scientist, you’ll work closely with the clients to understand their business needs, frame them as statistical problems, and solve them with cutting edge techniques. Collaborate with your team, including machine learning engineers, data engineers, analysts, and TPMs to define tasks, provide estimates, and work together to deliver a world class solution. The ideal candidate will have the balance of technical skills and business acumen to help the client better understand their core needs while understanding technical limitations.\n\nAbout you…\nExperience partnering & communicating with executive management team to understand business needs and pain points\nAbility to communicate data science concepts to business stakeholders\nPassion for the application of machine learning to real world problems\nAdept at developing and iterating solutions rapidly\nAbility to lead development of data science solutions\nWhat we offer our consultants:\n\nExperience working with both large enterprise clients and mid-sized clients\nProgressive responsibilities that encourage ownership and design\nOpportunity to learn and gain experience in complimentary skills such as meeting facilitation, data management, project management, data modeling, and data management\nCompany Culture that celebrates “Foster the culture of we”, “Act with integrity” and “Drive towards excellence” while having fun at work\nTraining and certification opportunities to support your career now and after Logic20/20\nVarious opportunities to give back to the community through company sponsored events\nRequired Qualifications\nExperience building machine learning models using Python\nExperience deploying machine learning models in a production environment\nStrong knowledge of probability statistics\nExperience with Tensorflow or PyTorch\nExperience writing SQL to query databases, structure and modify data\nDemonstrated ability to frame business problems as statistical problems and solve them\nAbility to work both independently and as part of a team\nExperience working in ambiguous and dynamic environments that move quickly\nAn undergraduate degree in mathematics, computer science, or engineering is preferred\nPreferred Qualifications\nPassion and experience driving adoption of machine learning in industry\nExperience deploying machine learning on large scales through Spark or other big data technology\nExperience building systems in AWS\nExperience in computer vision with deep neural networks\nExperience with leading workshops with executives to drive requirements gathering\nMasters or PhD in data science or related field\n\nAbout Logic20/20. . .\n\n\nLogic20/20 is one of Seattle’s fastest growing full-service consulting firms. Our core competency is creating simplicity and efficiency in complex solutions. Although we make it look like magic, we succeed by combining methodical and structured approaches with our substantial experience to design elegant solutions for even the most intricate challenges. Our rapid growth is in response to our ability to deliver consistently for our clients, which is directly related to the quality of the people we hire.\n\nThe past four years, we’ve been in the top 10 “Best Companies to Work For” ….. why? Our team members are highly self-motivated, comfortable conceiving strategies on the fly, and enjoy working both individually and as part of a team. Our environment is very high-energy and demanding, and individuals with remarkable enthusiasm and a can-do attitude are joining our team. We have lots of fun, focus on our employees and our clients, and work to bring our best to every opportunity.	3.8	Logic20/20\n3.8	San Jose, CA	Seattle, WA	201 to 500 employees	2005	Company - Private	Consulting	Business Services	$25 to $50 million (USD)	-1
8	8	Research Scientist	$38K-$84K (Glassdoor est.)	SUMMARY\n\nThe Research Scientist I will be tasked with oversight of research in the Division of Cancer Biology Research at the Rochester General Hospital Research Institute.\n\nA strong background in Molecular Biology or Cancer Biology Research is preferred. Mouse models will be used in the research.\n\nSTATUS: Full Time\n\nLOCATION: RGH Research Institute\n\nDEPARTMENT: Cancer Biology\n\nSCHEDULE: Monday-Friday; Days\n\nATTRIBUTES\nMD or PhD who is not self supporting of their own salary nor has their own research program\nFunctions with minimal direction from Research Scientist II, Senior Research Scientist or Laboratory Director.\nStrong analytical, computer, leadership and problem-solving skills\nRESPONSIBILITIES\nConducts research projects including complex experiments, some in parallel, utilizing current concepts and recognized standard techniques, developing new protocols as necessary\nDemonstrates a high level of initiative in performing experiments, analyzing data and drawing conclusions regarding progress and results of work.\nMaintains a familiarity with current and emerging technologies through reading and understanding scientific and technical literature resulting in a broadening understanding of disciplines outside area of training and enabling the use of new and improved procedures in the laboratory.\nDuties are performed with an understanding of drug discovery in area of specialization.\nEDUCATION PhD; MD Rochester Regional Health is an Equal Opportunity / Affirmative Action Employer. Minority/Female/Disability/Veteran	3.3	Rochester Regional Health\n3.3	Rochester, NY	Rochester, NY	10000+ employees	2014	Hospital	Health Care Services & Hospitals	Health Care	$500 million to $1 billion (USD)	-1
9	9	Data Scientist	$120K-$160K (Glassdoor est.)	isn’t your usual company. Our work is powered by the premise that every person at is unique, possessing a distinct set of skills, personality, and passions. We embrace our collective talents to tackle technical challenges, refine our successfully disruptive business ideas, and co-create one of the most human and inspiring work cultures out there. We are a team of collaborators, valuing and rewarding shared success over individual heroics.\nAs a member of our Data Science team, you will use your quantitative expertise to identify new areas of research and optimization, and then see those ideas through to production. Data Science is a fundamental contributor to Intent’s success - your work will have a direct and tangible impact on the business.\nThere are no typical projects, but a workflow might involve performing research and analysis against petabytes of historical data using our collection of large-scale analytics tools like Spark, Snowflake, and RedShift, building prototypes using mostly Scala or another functional language, pairing with engineers on the Modeling and Prediction team to harden and deploy the functionality, and running live tests to monitor the results.\nAll of these steps take place in an environment of respect and collaboration, and the Data Science team is empowered to own its agile processes. Every member of the team is expected to be both a student and teacher, and we believe that the most effective Data Science team is one that is collectively learning and growing. Experience in coaching and mentoring colleagues at all levels is strongly desired. As part of the Data Science team, you’d help build out a real-time predictive analytics platform that makes decisions for some of the largest sites on the web.\nAbout You:\nSignificant industry experience in several of the following areas: personalized experiences, big data analytics, implementing machine learning & statistical methods, designing and running A/B tests, product design and life cycle, writing production code, designing online auctions.\nExperience in user experience customization a plus\nExperience coaching and mentoring team members\nExperience writing production software in languages like Scala, Clojure, Java, Python, or C++ in an agile, collaborative environment\nExperience with handling large amounts of data (TB+) in a production setting\nExperience with Spark is a significant plus\nExperience in ad-tech a plus\nAbout Us:\nis the data science company for the world’s leading online commerce and travel brands. Our Predictive Intelligence Platform uses patented technology to predict user behavior in real-time and identify the future value of every user. Over 450 innovative brands from more than 40 countries trust Intent’s real-time predictions to deliver personalized user experiences that maximize utility and ROI.\nOur team is over 100 people and our offices span globally. We’re headquartered in NYC with locations in London, Kuala Lumpur, and Sao Paulo.\nEvery day, we’re inspired by two pursuits. First, we’re building novel products that are upending e-commerce. Second, we’re building the company we’ve always wanted to work for — one that’s open, human and collaborative, where very smart people come together to share ideas and get things done. We’re included on Built in NYC's Best Places to Work list and have been on Crain’s 100 Best Places to Work in NYC list for seven years running.\nLove Your Job!\nOur employees enjoy coming to work, and we let them know they're valued.\nOur vibrant team accomplishes a lot every day, but we insist upon work/life balance so things never become stale. We don’t take ourselves too seriously, but we take our work very seriously.\nWe believe that in order for our employees to perform their best, they need access to strategic decisions, and so our flat structure and open communication invite innovation from all levels — ideas flow freely.\nWe offer competitive compensation, stock options, and great perks & benefits, including:\nUnlimited vacation\nA generous parental leave policy\nA beautiful, dog-friendly office in SoHo with drinks and snacks\nAn open environment with lots of natural light and roof deck access\nAnnual $2,000 learning budget and Citi Bike membership\nAccess to Fond, our employee perks program featuring deals and discounts on hundreds of products and services\nAccess to Sherpaa, a telehealth service with 24/7\nIn-office yoga classes\nCompany-wide social events, and more!\nSo what are you waiting for? Apply with your resume in just a few clicks!\nAbout Us\nOur Products\nOur Dogs\nTwitter\nInstagram	4.6	<intent>\n4.6	New York, NY	New York, NY	51 to 200 employees	2009	Company - Private	Internet	Information Technology	$100 to $500 million (USD)	Clicktripz, SmarterTravel

	Unnamed: 0	Job Title	Salary Estimate	Job Description	Rating	Company Name	Location	Headquarters	Size	Founded	Type of ownership	Industry	Sector	Revenue	Competitors
946	946	Senior Data Analyst	$99K-$178K (Glassdoor est.)	Senior Data Analyst\n\nAbout us\n\n\nLife360 brings families closer with smart tools designed to protect and connect the people who matter most.\n\nKnown for first-to-market solutions for modern family challenges, Life360 recently reached #1 in Apple's US App Store's list of free social networking apps. Nearly 1 in 10 US families with kids use Life360 an average of 12 times a day, and global membership is growing exponentially, with over 25 million monthly active users in over 140 countries making Life360 the largest mobile service for families in the world.\n\nThis reach gives us the opportunity to do unprecedented good for families through our valued core offerings: advanced location sharing, private messaging, driver monitoring, help alerts, 24/7 roadside assistance, and Crash Detection with emergency response. On average we respond to 1,000 roadside assists and dispatch 200+ ambulances each month to those in need.\n\nOffering both free and paid memberships. In addition, the company has raised over $200 million in equity financing, and recently completed an IPO on the ASX exchange giving our employees the liquidity of a public company with the upside of a private growth stage business.\n\nLife360's rapidly growing team of 150+ employees is headquartered in San Francisco, with offices in San Diego, and Las Vegas.\n\nAbout the Job\n\n\nData plays a crucial role in Life360's growth by driving smarter decisions, improving operations, and creating higher value user experiences. As an analytics team, we partner with a wide variety of cross-functional partners to apply data insights against strategic initiatives. "Know Our Users" is a Life360 core value and we're looking for analytics professionals who are passionate about leveraging user data to create value for Life360 families.\n\nYou'll be working in a dynamic growth environment, leading efforts to better understand the business, the product, and the customer. Life360 has one of the most interesting datasets in the world: location, driving, product usage, and purchasing behavioral data - all centered around who matters most, the family. If you have a passion for making an impact and working on products that help millions of families around the world, then this is the right place for you.\n\nResponsibilities\n\n\nAnalytics team members work closely with specific strategic teams but also have opportunities to work on company-wide initiatives. This person is expected to focus on that particular area but also generalize their skills towards other parts of the business with a variety of projects.\n\nIn this role, we are looking for someone to partner with the Revenue team in developing actionable insights from both product and financial perspectives. Common projects range from financial disclosure reports that tell Life360's growth story to conducting deep-dive analyses into identifying opportunities for subscription growth. Ultimately, you will be tasked with finding data insights that deliver business value.\n\nThese are some typical responsibilities:\nLeverage data to understand the Life360 family and their product usage, developing insights that apply to product, marketing, and business strategy.\nPartner with executives, product managers, engineers, marketers, designers to translate data insights into smarter decisions and applications.\nEstablish and manage KPIs that measure the health of the business, product performance, and customer experience quality.\nBuild dashboards and reporting processes to monitor business and product trends.\nDevelop frameworks, tools, and best practices to apply data insights towards business questions.\nConduct analyses and build models that identify opportunities and drive growth.\nDesign and analyze experiments, communicate results, and drive decisions.\nPotential projects may include forecasting business performance, developing family driving profiles, and predicting customer lifetime value.\nQualifications\n\n\nWe are looking for candidates with a diverse background that will compliment the skills and backgrounds of the current team. If you don't fit all the criteria below please apply anyway as this list is more of a preference rather than a rule. Our priority is for a well rounded team that delivers results.\nWe are looking for candidates who have had previous experience on analytics teams and are willing to help coach and mentor colleagues on best data practices. 5+ years is preferred.\nDegree in a quantitative field like statistics, economics, applied math, operations research, or engineering, finance, business intelligence. Advanced degrees are preferred.\nSQL expertise - able to write structured and efficient queries on large datasets.\nExperience in scripting languages, like analysis and visualization libraries in Python or R.\nStrong verbal/written communication skills and the ability to collaborate with cross-functional partners to build the business.\nProficiency in building data visualizations and interactive dashboards with tools like Tableau.\nExperience designing and evaluating experiments to draw inferential recommendations.\nCuriosity to learn about new topics and uncover hidden insights.\nPerks\nFridays are Work From Home days at Life360\nCompetitive pay and benefits\nFree snacks, drinks (three ways to brew your favorite cup of coffee), and food in the office\nCatered lunches throughout the week\nHealth, dental and vision insurance plans\n401k plan\n$200/month Quality of Life perk\nA great office with plenty of light in the heart of the SOMA district in beautiful San Francisco\nWhatever makes you stronger makes us stronger. We buy you the things you need to improve yourself and get your job done.\nThis position is located in San Francisco, CA. It is not a remote role.	3.9	Life360\n3.9	San Francisco, CA	San Francisco, CA	51 to 200 employees	2008	Company - Public	Computer Hardware & Software	Information Technology	Unknown / Non-Applicable	-1
947	947	Data Science Project Manager	$37K-$100K (Glassdoor est.)	At MassMutual, we are passionate about helping millions of people find financial freedom and this passion has driven our approach to developing meaningful experiences for our customers. The Data Science team, part of the Enterprise Technology and Experience organization, is comprised of highly skilled and collaborative problem solvers who are motivated to create innovative solutions that exceed the changing needs of our customers and move MassMutual and the industry forward.\n\nTo continue our cutting-edge work, we are hiring a Data Science Project Manager to join our team.\n\nWhat great looks like for this role\n\nA seasoned Project Manager will have the opportunity to apply advanced project and program management knowledge, skills, tools and techniques to project deliverables, processes, communications and presentations in order to meet or exceed stakeholder needs and expectations. The Project Manager will have the ability to think strategically to understand, apply, promote and contribute to MassMutual's delivery methodologies, standards and tools. This individual will work with a team that embraces diversity in all of its forms, respects others and looks to have fun.\n\nObjectives of this role\nTo scale our data science impact.\nTo impact complex business goals through the delivery of quality work timely.\nTo ensure documentation is in place and process is followed meeting standards\nDaily and Monthly Responsibilities - What You Will Do:\nLead broad scope projects that have medium to long-term focus\nEngage with all levels across the enterprise\nServe as a conduit of knowledge between functional and technical teams\nCommunicate regularly with individuals both within and outside of our team, managing relationships and expectations\nNavigate ambiguity to deliver results\nDevelop plans for continuous service to support implementation of products\nAct as a champion for data science capabilities by communicating their benefits and how they can be implemented\nProvide consultation, business analysis, project management, and leadership on multiple projects of varying duration, size, and complexity\nMotivate teams to work together, communicate, and deliver\nElicit, translate and simplify requirements\nDocument and organize acceptance criteria for user stories\nManage budget, timeline, and scope throughout the course of all assigned projects\nLead project teams during all phases of the development life cycle including requirements gathering and analysis, design, build, pilot, implementation and continuous service\nFacilitate client and project team interactions including: scrums, sprint planning, sprint retrospectives, sprint reviews, incident management and release management\nWork with product managers to define improvements to business processes, assist decision-makers in gathering information to make decisions, and help quality assurance test solutions\nWork with technical leads, product managers to plan, develop technical scopes of work and manage the execution of projects/product changes in response to requirements from our stakeholders\nBe self-supportive in collaborating with peers to effectively deliver a robust solution for the business\nDrive process within a matrix management setting\nWhat You Will Not Do:\nDesign strategic roadmaps\nLarge amounts of computer programming\nManipulation of large data sets\nSit in solitude at your desk\nBasic Qualifications\nBachelors Degree preferably in Business/Finance or an analytical field such as Economics, Mathematics, Engineering, Computer Science\n4+ years managing and driving the execution of complex projects\nExperience in/working in partnership with a technical role, such as an engineer, developer, data scientist, etc. a plus\nProficient with project management tools and techniques, such as JIRA, Confluence, Scrum and Kanban\nExcellent interpersonal communication, conflict management, coordination, and planning skills with cross-functional teams\nSkilled in applying judgment to balance process compliance with achievement of business objectives\nProject leadership experience focused on engaging others in the delivery and execution of technical solutions and service deliverables\nAbility to assess a project's scope and the team's ability to execute\nOutcome oriented with the ability to drill down from the big picture to process details\nAbility to communicate objectives, plans, status and results clearly\nStrong leadership skills and influencer\nAbility to collaborate across diverse teams and organizations\nStrong organizational skills and detail oriented\nAuthorized to work in the United States without requiring visa sponsorship now or in the future\nPreferred Qualifications\nMasters Degree, preferably in Business/Finance or an analytical field such as Economics, Mathematics, Engineering, Computer Science\nAgile certification or experience\nSolid grasp of software technologies and stacks.\nFormer technical experience is preferred, such as working with data science teams or experience developing and/or deploying predictive models	3.6	MassMutual\n3.6	Boston, MA	Springfield, MA	5001 to 10000 employees	1851	Company - Private	Insurance Carriers	Insurance	$10+ billion (USD)	-1
948	948	Data Engineer	$62K-$113K (Glassdoor est.)	Do you find data architecture exciting? Does building a new data pipeline or optimizing a data warehouse make you happy? Can you migrate a data store to the cloud, run a few NLP algorithms to clean things up, and build a set of processes to keep the data current? Are you comfortable with Terabyte-scale data, optimizing cloud stores, building workflow management systems, AWS, and Python scripting? Can you work closely with business stakeholders to understand their needs and sate those through data solutions? If so, we want you!\n\nFivestars is seeking a Senior Data Engineer. Reporting to the Director of Analytics and Data Science, you will work with the Product, Marketing, and Engineering teams at Fivestars to build and maintain world-class data infrastructure.\n\nAt Fivestars, our mission is to help businesses and communities thrive by turning every transaction into a relationship. Over 50 million people use Fivestars to get rewarded at more than 14,000 local businesses with one rewards program. Local businesses use Fivestars to bring more customers into their stores with an all-in-one marketing and payments program. Fivestars drives over $3 billion in local commerce across its network per year.\n\nFivestars was launched out of Y-Combinator in 2011 (most recently on Y-Combinator's Top 75 Companies List for 2019) and has raised over $105 million from notable investors including Lightspeed, DCM, HarbourVest, Menlo Ventures, Y-Combinator, and others. Together, let's love local!\n\nResponsibilities\nBuild and maintain data infrastructure (Redshift/Presto/Kinesis/Glue/EC2/S3/etc.)\nCreate data pipelines to/from external partners using Python and other tools\nUse NLP to clean and consolidate data\nEstablish and use workflow-management tools to orchestrate solutions\nMonitor and improve pipeline and data-warehouse performance\nSkills\nSQL – write sophisticated and optimized queries against large databases\nPython – create efficient and scalable pipelines and solutions\nBusiness Acumen – understand the questions we are trying to answer through data\nProblem Solving – apply structured methods to analyze problems and develop solutions\nCommunication – explain technical concepts clearly and concisely\nRelationships – influence adoption of infrastructure through partnership\nQualifications/Experience\nUndergraduate degree in a highly technical field (e.g. Computer Science, Electrical Engineering, etc.) from a top-tier university\nGraduate degree (MS, PhD, etc.) in a similar field will be highly valued but is not required\n1+ years of experience in a data-engineering function using cloud-based infrastructure\nAbility to solve technical problems and create efficient, robust, and scalable solutions\nDemonstrated intellectual curiosity\nPerks\nPre-IPO stock options\nExcellent medical, dental, and vision coverage\nGreat downtown-SF office location\n4 weeks PTO + 11 paid-holidays per year\nThree in-office lunches per week and a fully-stocked kitchen with fruit, (healthy) snacks, coffee, and drinks\nTeam happy hours and company-sponsored events\nWellness Benefit - $500 per year to spend on eligible physical or mental well being\nFSA; short-/long-term disability coverage; life Insurance; 401K; EAP; and commuter benefits\nFivestars provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Fivestars complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.	3.9	Fivestars\n3.9	San Francisco, CA	San Francisco, CA	201 to 500 employees	2011	Company - Private	Internet	Information Technology	$100 to $500 million (USD)	Belly, SpotOn
949	949	Principal, Data Science - Advanced Analytics	$86K-$137K (Glassdoor est.)	IQVIA is the leading human data science company focused on helping healthcare clients find unparalleled insights and better solutions for patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness the power of healthcare data, domain expertise, transformative technology, and advanced analytics to drive healthcare forward.\n\nJob Description\n\nThe IQVIA Advanced Analytics team is one of the leading healthcare analytical teams in the world. Joining the AA team provides the opportunity to work with extremely complex data and methodologies in a fast-paced, ever-changing environment. We seek highly motivated people who truly want to make a difference in the life sciences industry. At IQVIA, we look for the very best people, and then give them meaningful work to do. we dont simply think about careers, we think about contributions.\n\nAdvanced Analytics - with departments in Philadelphia, Frankfurt, Paris, and Warsaw as well as a network of over 150 team members worldwide - is the global competence center for data science at IQVIA. Complex advanced analysis at the highest level are conceptualized and implemented to support international customers in the pharmaceutical industry - often within multinational projects. As a member of our team you can expect exciting international projects with interesting development perspectives.\n\nThe position will use large data sets to find opportunities for product and process optimization and models to test the effectiveness of different courses of action. Our data scientists have strong experience using a variety of data mining/data analysis methods, building and implementing models, using/creating algorithms and simulations. For this position, we are seeking several years of direct experience with developing algorithms and models to solve prediction problems. Awareness of various techniques available to use in predictive analytics. Using their proven ability to drive business results with their data-based insights, they will comfortably interact and work with a wide range of stakeholders and functional teams. They have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.\n\nWhat were looking for:\nQuantitative background with advanced degrees (Master, PhD preferred) in Statistics, computer science, engineering, informatics, data science, or related field.\nIn-depth understanding of machine learning algorithms and statistical models\nAbility to manage, lead and communicate\nExperience in pharmaceutical or hospital/healthcare industry\nWhat youll be doing:\nBuild machine learning/statistical models and pipelines for solving predictive analytic tasks with electronic healthcare claims and medical records\nApply machine learning, data mining technologies in developing innovative solutions in pharmaceutical industry.\nParticipate at client meetings for complex proposals to present IQVIA advanced analytic methodologies to clients and to bring credibility for IQVIA team\nEnsure data quality throughout all stages of acquisition and processing, including such areas as data collection, normalization, transformation, embedding, visualization, etc.\nPresent study findings to clients and translate analytic outputs to business impact and recommend actions to clients to improve their business performance\nEnsure data quality throughout all stages of acquisition and processing, including such areas as data collection, normalization, transformation, embedding, visualization, etc.\nWork with IQVIA technology team to support machine-learning algorithms in big data platform to solve a variety of business problems.\nIQVIA is an EEO Employer - Minorities/Females/Protected Veterans/Disabled\n\nWe know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes.\n\nWhatever your career goals, we are here to ensure you get there!\n\nWe invite you to join IQVIA.\n\nJoin Us\n\nMaking a positive impact on human health takes insight, curiosity, and intellectual courage. It takes brave minds, pushing the boundaries to transform healthcare. Regardless of your role, you will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve outcomes for patients.\n\nForge a career with greater purpose, make an impact, and never stop learning.\n\nIQVIA is an EEO Employer - Minorities/Females/Protected Veterans/Disabled\n\nIQVIA, Inc. provides reasonable accommodations for applicants with disabilities. Applicants who require reasonable accommodation to submit an application for employment or otherwise participate in the application process should contact IQVIAs Talent Acquisition team at workday_recruiting@iqvia.com to arrange for such an accommodation.	3.6	IQVIA\n3.6	Plymouth Meeting, PA	Durham, NC	10000+ employees	2017	Company - Public	Biotech & Pharmaceuticals	Biotech & Pharmaceuticals	$2 to $5 billion (USD)	PPD, INC Research, PRA Health Sciences
950	950	Sr Scientist, Immuno-Oncology - Oncology	$58K-$111K (Glassdoor est.)	Site Name: USA - Massachusetts - Cambridge\nPosted Date: Mar 24 2020\n\nAre you energized by a challenging role in immuno-oncology, where scientific demand is driving team growth? If so, this Senior Scientist would be a great opportunity to consider.\n\nThe Immune Biology Group within GSKs Immuno-Oncology & Combinations Research Unit (IOC RU) is seeking a Sr. Scientist with experience in immuno-oncology or immunology to join our team.\n\nIn this role, you will be responsible for conducting research designed to identify and validate immune-based therapies for cancer.\n\nThis Sr. Scientist role will provide you the opportunity to lead key activities to progress your career. Responsibilities include:\nDeliver critical path biology results to support GSKs pipeline of cancer immunotherapies from early discovery to first-time-in-human commitment.\nEstablish and expand internal wet lab capabilities at a growing GSK site.\nActively participate in building and maintaining drug discovery relationships with both internal stakeholders and external partners.\nWork within a dynamic and collaborative environment to deliver high-quality scientific data packages to meet experimental and organizational goals.\nWhy you?\nBasic Qualifications:\n\n\nWe are looking for professionals with these required skills to achieve our goals:\nBachelors or Masters degree in immunology, immuno-oncology or related field with 5+/3+ years of experience, respectively.\nStrong scientific background in immunology or immuno-oncology research, with a focus on bioassay development to functionally characterize biologics and/or small molecules.\nResearch expertise in the field of adaptive immunity with a focus on T cell biology with demonstrated ability to independently establish robust in vitro and ex vivo functional assay protocols to investigate mechanisms of action for multiple drug candidates and their combinations.\nExpertise in high-dimensional flow cytometry to phenotypically characterize immune cells from human and murine tissue samples, including both surface and intracellular staining.\nDemonstrated hands-on ability to independently design, conduct, and analyze pharmacology studies.\nStrong communication skills and ability to conduct research in a cross-functional team environment.\nAbility to interpret data clearly and concisely both verbally and in documents and present results in an organized manner.\nAbility to prioritize, manage time efficiently, and implement creative solutions to meet program needs.\nCommitment to continual improvement by reading and applying the latest scientific literature, methodologies and technology where appropriate.\nA high level of integrity and desire to develop transformational medicines that bring benefit to patients\nPreferred Qualifications:\n\n\nIf you have the following characteristics, it would be a plus:\n2+ years pharmaceutical or biotechnology industry research experience working in matrixed drug discovery project teams.\nResearch expertise with functional characterization of myeloid cells\nExperience liaising with Laboratory Operations personnel.\nWhy GSK?\n\nOur values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:\nOperating at pace and agile decision-making using evidence and applying judgement to balance pace, rigour and risk.\nCommitted to delivering high quality results, overcoming challenges, focusing on what matters, execution.\nContinuously looking for opportunities to learn, build skills and share learning.\nSustaining energy and well-being\nBuilding strong relationships and collaboration, honest and open conversations.\nBudgeting and cost-consciousness\nLI-GSK\n\nThis is a job description to aide in the job posting, but does not include all job evaluation\n\nIf you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).\n\nGSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.\n\nImportant notice to Employment businesses/ Agencies\n\nGSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.\n\nPlease note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSKs compliance to all federal and state US Transparency requirements. For more information, please visit GSKs Transparency Reporting For the Record site.	3.9	GSK\n3.9	Cambridge, MA	Brentford, United Kingdom	10000+ employees	1830	Company - Public	Biotech & Pharmaceuticals	Biotech & Pharmaceuticals	$10+ billion (USD)	Pfizer, AstraZeneca, Merck
951	951	Senior Data Engineer	$72K-$133K (Glassdoor est.)	THE CHALLENGE\nEventbrite has a world-class data repository of live events, powering millions of events and hundreds of millions of ticket transactions each year in 170+ countries. Our platform allows event creators and event goers to have the most meaningful live experiences. As a Senior Data Engineer, you will be part of a team that is building our next-gen big data infrastructure to support both internal and customer-facing applications.\nTHE TEAM\nWe're a people-focused Engineering organization: our people value working together in small teams to solve significant problems, supporting an active culture of mentorship and inclusion, and pushing themselves to learn new things daily. Pair programming, weekly demos, tech talks, and quarterly hackathons are at the core of how we’ve built our team and product. We believe in engaging with the community, regularly hosting free events with some of the top technical speakers, and actively contributing to open source software (check out Britecharts as an example!). Our technology spans the web, mobile, API, Big Data, machine learning, search, physical point of sale, scanning systems, and the data infrastructure required to support those systems.\nTHE ROLE\nWe are hiring a Senior Data Engineer to help us build a scalable, reliable, secure, and highly performant data platform. You'll help reinforce and extend the infrastructure that powers the use of data at Eventbrite. From infrastructure development to data analysis to ETL jobs, you will need a broad range of big data engineering skills. The team has strong and versatile engineers. You will grow. We hope to grow with you.\nTHE SKILL SET\n8-10 years of experience building high quality software in Python, Java, or Scala\n5+ years of experience designing batch, streaming, and event-driven Data Warehouse and ETL architectures with Hadoop ecosystem, such as Spark, Hive, Storm, Presto, Kafka, Hbase, MySQL databases, and HDFS\nUnderstanding of Data Engineering, Data Science, Machine Learning, Data Analytics, and the relevant technologies that support them\nDeep expertise in cloud computing, preferably AWS, security, cluster sizing, and performance tuning. Ability to setup process and systems to monitor and reduce cloud computing costs for a large organization\nExperience building systems to instrument, collect and process billions of events, such as clickstream data. Deep understanding of measuring and ensuring data quality at scale\nOutstanding verbal, written, presentation, and facilitation skills. In particular, a demonstrated ability to effectively communicate technical and business issues and solutions to multiple organizational levels\nAbility to teach and mentor engineers with a variety of skill levels and backgrounds\nVision to define the future of how Big Data and Analytics intersect at Eventbrite. The Analytics community at Eventbrite will rely on you to build and maintain a data environment built for speed, accuracy, consistency and uptime\nSkills to support analytics by building a world-class data warehousing environment that empowers analysts to deliver insights to their stakeholders. Evaluate competing data technologies and toolsets from various vendors and open-source products; drive platform selection; lead technical architecture, application design and implementation\nSkills to support analytics by building a world class data warehousing environment that empowers analysts to deliver insights to their stakeholders\nEvaluate competing data technologies and toolsets from various vendors and open-source products; drive platform selection; lead technical architecture, application design and implementation\nCombine strong analytical skills with the ability to collect, organize and analyze large amounts of information with attention to detail and accuracy\nPassionate about live entertainment, and eager to help build Eventbrite into the world's leading event technology platform\nStrong analytical and problem-solving skills and attention to detail\n\nBONUS POINTS\nFamiliarity with a server-side frameworks, such as Django, Express, Rails, or .Net\nSkilled in various forms of data modeling including ER, XML Schemas, SQL, logical and physical database design, dimensional modeling, and/or OLAP cubes\nKnowledge of database schemas and models, including 3NF, star schemas, cubes, etc. and in developing physical database schemas from logical models\nStrong knowledge of database optimization and scaling approaches including indexing, partitioning, sharding, clustering, in memory tables, horizontal and vertical scaling\nFamiliarity with managing large datasets and understanding the complexities of merging large databases, meeting security audit requirements, and implementing a data retention policies\n\nABOUT EVENTBRITE\nEventbrite is a global ticketing and event technology platform, powering millions of live experiences each year. We empower creators of events of all shapes and sizes – from music festivals, experiential yoga, political rallies to gaming competitions –– by providing them the tools and resources they need to seamlessly plan, promote, and produce live experiences around the world. Last year, the team served 795,000 creators hosting nearly 4 million experiences across 170 countries. Meet some of the Britelings that make it happen.\n\nIS THIS ROLE NOT AN EXACT FIT?\nSign up to keep in touch and we’ll let you know when we have new positions on our team.\n\n\nEventbrite is a proud equal opportunity/affirmative action employer supporting workforce diversity. We do not discriminate based upon race, ethnicity, ancestry, citizenship status, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), marital status, registered domestic partner status, caregiver status, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, genetic information, military or veteran status, mental or physical disability, political affiliation, status as a victim of domestic violence, assault or stalking, or other applicable legally protected characteristics.\nApplicant Privacy Notice	4.4	Eventbrite\n4.4	Nashville, TN	San Francisco, CA	1001 to 5000 employees	2006	Company - Public	Internet	Information Technology	$100 to $500 million (USD)	See Tickets, TicketWeb, Vendini
952	952	Project Scientist - Auton Lab, Robotics Institute	$56K-$91K (Glassdoor est.)	The Auton Lab at Carnegie Mellon University is a large academic group driven by a desire to make a real-world difference in a broad range of research interests. The areas of our current focus include, but are not limited to, modeling complex temporal and sequential data, structural learning, incorporating diverse feedback, interactive network science and human-machine interaction. We are always interested in finding ways to make Artificial Intelligence more accessible, beneficial and affordable to everyone. The areas of our current application interests include healthcare in clinical, managerial, and new sensing modalities contexts, radiation safety, countering human trafficking, agriculture, predictive maintenance of equipment, multi-modal data analytics, etc.\n\nWe are seeking a Project Scientist to join us in the Auton Lab. In this role, you will act as a team leader for specific areas of research projects in applied data science. Working with principal investigator(s), you will prioritize project goals based on overall organizational goals. You will contribute significantly in the development and documentation of research finding and as a major collaborator of scientific papers. There will be frequent opportunities to present research finding to current or potential sponsors and at major national and international conferences.\n\nCore responsibilities will include:\nPreparing data, developing models, and producing research findings\nContributing to project management and maintenance of customer relationships\nDocumenting research findings, producing reports and synthetic summaries\nContributing to scientific publications\nWorking with principal investigator(s) to formulate research goals and plans\nPreparing and delivering presentation of research findings\nQualifications:\nPhD in machine learning, applied mathematics, statistics, computer science, or other relevant field or equivalent combination of training and experience preferred\n10-15 years of Research Experience required\nProven technical background\nExperience in analyzing of data at scale, proven hands-on model development\nFlexibility, excellence, and passion are vital qualities within Auton Lab. Inclusion, collaboration and cultural sensitivity are valued proficiencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are especially interested in qualified candidates who can contribute through their work/life experiences to the diversity and excellence of the academic community.\n\nYou should demonstrate:\nExcellent communication skills\nAbility to work optimally in a team\nAre you interested in this opportunity with us? Please apply.\n\nMore Information:\n\nPlease visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.\n\nA listing of employee benefits is available at: www.cmu.edu/jobs/benefits-at-a-glance/.\n\nCarnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.	2.6	Software Engineering Institute\n2.6	Pittsburgh, PA	Pittsburgh, PA	501 to 1000 employees	1984	College / University	Colleges & Universities	Education	Unknown / Non-Applicable	-1
953	953	Data Science Manager	$95K-$160K (Glassdoor est.)	Data Science ManagerResponsibilities:\n\nOversee a team of Data Scientists and Data Visualization Analysts who transform enterprise data into value drive insights\n\nDesign and implement processes for complex large-scale datasets for data mining, predictive modeling, and research purposes\n\nServe as an advisor for business stakeholders identifying data needs and explaining the importance and use of data applicable to their usage\n\nOversee development of a style guide detailing best practices standards for data visualization\n\nManage the intake process of analytics projects, measure value, and prioritize projects\n\nAlign the department as a customer-oriented service providing insights and information\n\nCoach and mentor team providing specific, timely and constructive feedback\n\nProvide day-to-day leadership and operational management in area of responsibility\n\nExecute objective, plans, and policies in line with enterprise level strategy\n\nProactively find new opportunities to leverage technology for continuous improvement and greater efficiency\n\nContribute to budget development and assist in preparation of operational plans for department\n\nOversee area of responsibility to adhere to approved budgets\n\nMS degree in a quantitative discipline plus a minimum of 5 years of professional work experience\n\nMinimum of 3 years of management experience\n\nProfessional work experience with R and advanced statistical modeling techniques including machine learning techniques\n\nExcellent oral and written communication skills\n\nExcitement, curiosity and passion for shaping the future through digital technology\n\nUS Citizenship or green card required	3.2	Numeric, LLC\n3.2	Allentown, PA	Chadds Ford, PA	1 to 50 employees	-1	Company - Private	Staffing & Outsourcing	Business Services	$5 to $10 million (USD)	-1
954	954	Data Engineer	-1	Loading...\n\nTitle: Data Engineer\n\nLocation: Austin, TX\n\nType: Contract\n\nJob #: WD50842311\n\nNote: This job is not open to C2C or 3rd party candidates.\n\nIGNW is an engineering-based resourcing company headquartered in Portland, OR with GEO based teams in Seattle, WA / Austin & Dallas, TX / Southeast US / California. We have global partnerships to deliver the industry's top technical solutions and talent to every one of our clients. Some of our strategic partnerships include Google Cloud, Hashicorp, Puppet, Cisco, and Docker.\n\nWHY IGNW?\n\nSo many reasons, one being IGNW being voted Glassdoor’s Best Places to Work in 2020 across the U.S. and eight other countries. See the details here https://www.thrillist.com/news/nation/glassdoor-best-places-to-work-2020. IGNW also earned the Best of Staffing Award for providing remarkable service to job seekers, hiring managers and current contractors. Check it out! https://www.bestofstaffing.com/agency/ignw/\n\nWe are proud to foster a great team working environment and offer highly competitive compensation and full benefits packages including medical, flexible spending accounts, dental, vision, 401k and more\n\nTake a look and see if this is a match…. or any other jobs posted!\n\nProject Scope:\n\nOur client is looking for a Data Engineer to manage databases and data sets, and performs data transformations and analyses.\n\nResponsibilities:\nCreate and maintain data pipeline architectures.\nAssemble large, complex data sets for project teams and data scientists.\nBuild the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, NoSQL, and ‘big data’ technologies.\nDesign and implement automated solutions for common data transfer or transformation tasks.\nBuild analytics tools that utilize the data pipeline to provide actionable insights.\nWork with stakeholders to assist with data related technical issues and support their data infrastructure needs.\nKeep our data separated and secure across multiple data centers and cloud services.\nCreate data tools for data scientists that assist them in building and optimizing their models.\nDocument and version schema changes across all database stacks.\nRequirements:\n5+ years in a Data Engineering or similar position.\nPrevious system administration with linux and windows.\nMust have strong SQL skills.\nExtensive experience in managing large scale databases such as Postgres, MS SQL Server, or Oracle.\nExtensive experience with NoSQL databases such as HBase, Cassandra, or Dynamo.\nFluency in one or more scripting languages for data task automation such as Unix shell, Python, Ruby, TCL, or Javascript.\nExperience in data security and management of PII.\nPlease note: Candidates may need to pass a drug and/or background check.\n\nPlease send in your resume today and be sure to get a quick response from one of our onsite recruiters: resumes@ignw.io\n\nCheck out our reviews here: glassdoor.com\n\nTo view other IGNW opportunities please visit https://www.ignw.io/jobs\n\n#IGNW	4.8	IGNW\n4.8	Austin, TX	Portland, OR	201 to 500 employees	2015	Company - Private	IT Services	Information Technology	$25 to $50 million (USD)	Slalom
955	955	Research Scientist – Security and Privacy	$61K-$126K (Glassdoor est.)	Returning Candidate? Log back in to the Career Portal and click on 'Job Browsing/History' and find the job you're looking for.\n\n2019-024-OIC: Research Scientist – Security and Privacy\n\nDirectorate Open Innovation Center\nLocation Beavercreek, OH\nIf you want help develop the future technology to ensure security and privacy, Riverside Research’s Trusted and Resilient Systems group is the place for you. We are searching for an individual to join our research group to help shape a more secure future. The team has ongoing research in security of machine learning, cryptography, hardware and hypervisor security solutions, as well as developing cutting edge solutions to the security of open architecture systems. The ideal person for this position is passionate about many diverse areas technology and can leverage their interests to develop and study creative solutions to some of the most difficult challenges. The current team resides in Riverside Research’s Beavercreek, OH, but we are willing to consider candidates that would prefer to work out of one of our Washington DC (Centerville or Crystal City) offices, our New York City office, or our Boston office.\n\nJob Responsibilities:\n•Work with a team of highly skilled researchers to develop interesting and novel solutions to security and privacy problems\n•Publish and present research in conferences and journals\n•Work with the team to identify future areas of research investment and develop research plans\n•Assist with writing technical proposals\n\nQualifications:\n•Ability to obtain and maintain TS/SCI security clearance\n•Bachelor's or Master's degree with significant experience in security privacy research\n•Prior experience developing software\n•Ability to work independently and with a team\n•Superior written and verbal communication skills\nDesired Qualifications:\n\n•Python\n•Web development (we use React)\n•Revision control (we use Git)\n•Machine learning\n•Cryptography\n•Prior experience with government funded research\n\nRiverside Research strives to be one of America’s premier providers of independent, trusted technical and scientific expertise. As we continue to add experienced, technically astute staff, we are looking for highly motivated, talented team members that can help our DoD and Intelligence Community (IC) customers continue delivery of world class programs. As a not-for-profit, technology-oriented Defense Company, we believe service to customers and support of our staff is our mission. Our goal is to serve as a destination company by providing an industry-leading, positive, and rewarding employee experience for all who join us. We aspire to be a valued partner to our customers and to earn their trust through our unwavering commitment to achieve timely, innovative, cost-effective and mission-focused solutions.\n\nAll positions at Riverside Research are subject to background investigations. Employment is contingent upon successful completion of a background investigation including criminal history and identity check.\n\nThis contractor and subcontractor shall abide by the requirements of 41 CFR 60-741.5(a). This regulation prohibits discrimination against qualified individuals on the basis of disability, and requires affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified individuals with disabilities.\n\nThis contractor and subcontractor shall abide by the requirements of 41 CFR 60-300.5(a). This regulation prohibits discrimination against qualified protected veterans, and requires affirmative action by covered contractors and subcontractors to employ and advance in employment qualified protected veterans.\n\nApply Now	3.6	Riverside Research Institute\n3.6	Beavercreek, OH	Arlington, VA	501 to 1000 employees	1967	Nonprofit Organization	Federal Agencies	Government	$50 to $100 million (USD)	-1

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